The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-11-06"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "49322827 (up from 48680103 yesterday: 1.32 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1242868 (up from 1233313 yesterday: 0.77 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 9993250

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.52



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 9733816 126480 1.32 1684514 236073 1146 0.49 2.43
India 8462080 50356 0.60 1029400 125562 577 0.46 1.48
Brazil 5631181 41156 0.74 430881 162015 909 0.56 2.88
Russia 1720063 20368 1.20 358746 29654 369 1.26 1.72
France 1709716 60727 3.68 833374 39916 828 2.12 2.33
Spain 1328832 22516 1.72 392272 38833 347 0.90 2.92
Argentina 1228814 11786 0.97 263205 33136 370 1.13 2.70
United Kingdom 1149791 23322 2.07 457679 48565 355 0.74 4.22
Colombia 1127733 9756 0.87 182379 32405 196 0.61 2.87
Mexico 955128 5931 0.62 113467 94323 551 0.59 9.88
Peru 914722 0 0.00 54982 34730 0 0.00 3.80
Italy 862681 37802 4.58 471070 40638 446 1.11 4.71
South Africa 734175 1761 0.24 33972 19749 72 0.37 2.69
Iran 663800 8864 1.35 141413 37409 424 1.15 5.64
Germany 653992 22820 3.62 294190 11240 130 1.17 1.72
Chile 518390 1808 0.35 30200 14450 46 0.32 2.79
Poland 493765 27086 5.80 336157 7287 445 6.50 1.48
Iraq 493139 3568 0.73 72836 11244 69 0.62 2.28
Belgium 488044 8703 1.82 285893 12708 188 1.50 2.60
Ukraine 453565 9935 2.24 158338 8358 210 2.58 1.84
Indonesia 429574 3778 0.89 76113 14442 94 0.66 3.36
Bangladesh 417475 1469 0.35 31389 6036 15 0.25 1.45
Netherlands 404392 7280 1.83 186571 7954 118 1.51 1.97
Czechia 403497 11552 2.95 243385 4484 154 3.56 1.11
Philippines 391809 2084 0.53 40059 7461 52 0.70 1.90
Turkey 389256 2436 0.63 45301 10722 83 0.78 2.75
Saudi Arabia 349822 436 0.12 8327 5506 17 0.31 1.57
Pakistan 341753 1502 0.44 19301 6943 20 0.29 2.03
Israel 318402 539 0.17 16506 2644 5 0.19 0.83
Romania 287062 10260 3.71 114546 7663 123 1.63 2.67
Canada 258874 5392 2.13 61946 10493 61 0.58 4.05
Morocco 246349 5398 2.24 79201 4127 68 1.68 1.68
Switzerland 211913 9409 4.65 137491 2710 82 3.12 1.28
Nepal 188883 2909 1.56 62746 1070 18 1.71 0.57
Ecuador 172508 725 0.42 20849 12761 31 0.24 7.40
Portugal 166900 5550 3.44 70998 2792 52 1.90 1.67
Sweden 146461 4697 3.31 43261 6022 20 0.33 4.11
Bolivia 142343 142 0.10 2781 8781 13 0.15 6.17
United Arab Emirates 139891 1292 0.93 27042 510 2 0.39 0.36
Austria 138979 6464 4.88 77592 1340 72 5.68 0.96
Panama 137760 1193 0.87 14262 2770 14 0.51 2.01
Qatar 133811 192 0.14 4819 232 0 0.00 0.17
Kuwait 130463 825 0.64 15719 804 5 0.63 0.62
Dominican Republic 129300 476 0.37 8850 2261 1 0.04 1.75
Oman 117167 0 0.00 8871 1286 0 0.00 1.10
Kazakhstan 115439 613 0.53 6137 1857 0 0.00 1.61
Costa Rica 115417 1050 0.92 21069 1453 9 0.62 1.26
Guatemala 110502 653 0.59 10071 3794 28 0.74 3.43
Egypt 108754 224 0.21 3595 6343 14 0.22 5.83
Japan 106136 1172 1.12 14092 1810 4 0.22 1.71
Belarus 104286 991 0.96 17894 1001 3 0.30 0.96
Armenia 101773 2210 2.22 40313 1506 30 2.03 1.48
Jordan 101248 5384 5.62 66700 1136 67 6.27 1.12
Hungary 99625 4709 4.96 56600 2250 103 4.80 2.26
Honduras 99576 229 0.23 12885 2741 5 0.18 2.75
Ethiopia 98746 355 0.36 10912 1512 4 0.27 1.53
Venezuela 94305 384 0.41 8547 821 2 0.24 0.87
China 91591 39 0.04 666 4741 0 0.00 5.18
Lebanon 91328 2142 2.40 31215 700 17 2.49 0.77
Bahrain 83023 237 0.29 5698 328 0 0.00 0.40
Moldova 80501 935 1.18 14641 1882 16 0.86 2.34
Bulgaria 72184 3839 5.62 43679 1576 58 3.82 2.18
Slovakia 71088 2354 3.42 44788 317 31 10.84 0.45
Uzbekistan 68139 130 0.19 5551 579 0 0.00 0.85
Paraguay 66481 703 1.07 12999 1472 10 0.68 2.21
Libya 66444 1004 1.53 18599 915 8 0.88 1.38
Tunisia 66334 0 0.00 31544 1577 0 0.00 2.38
Ireland 64538 492 0.77 17111 1940 7 0.36 3.01
Nigeria 63731 223 0.35 2537 1155 0 0.00 1.81
Azerbaijan 62338 1465 2.41 18549 811 17 2.14 1.30
Croatia 62305 2890 4.86 38640 717 34 4.98 1.15
Kyrgyzstan 61748 439 0.72 10728 1170 3 0.26 1.89
Algeria 60800 631 1.05 6802 2024 13 0.65 3.33
Kenya 60704 1109 1.86 17124 1093 21 1.96 1.80
Bosnia and Herzegovina 59427 1921 3.34 26582 1457 55 3.92 2.45
Burma 59277 1342 2.32 25789 1376 24 1.78 2.32
Singapore 58047 4 0.01 146 28 0 0.00 0.05
Serbia 57958 2282 4.10 22239 871 10 1.16 1.50
West Bank and Gaza 57226 554 0.98 10792 511 3 0.59 0.89
Denmark 53692 1427 2.73 18753 738 5 0.68 1.37
Greece 52254 2447 4.91 27804 715 13 1.85 1.37
Georgia 51993 2775 5.64 36666 423 22 5.49 0.81
Ghana 48788 0 0.00 1615 320 0 0.00 0.66
Slovenia 42658 1564 3.81 31141 497 26 5.52 1.17
Afghanistan 41975 40 0.10 1902 1554 0 0.00 3.70
Malaysia 38189 1755 4.82 19431 279 2 0.72 0.73
North Macedonia 37499 1127 3.10 14892 1096 12 1.11 2.92
El Salvador 34966 184 0.53 3701 1002 5 0.50 2.87
Australia 27652 8 0.03 274 907 0 0.00 3.28
Korea, South 27284 89 0.33 2176 477 1 0.21 1.75
Norway 23835 606 2.61 7563 285 1 0.35 1.20
Albania 23210 489 2.15 6709 549 6 1.10 2.37
Kosovo 22934 728 3.28 6328 732 12 1.67 3.19
Cameroon 22103 0 0.00 662 429 0 0.00 1.94
Montenegro 22079 546 2.54 6798 328 0 0.00 1.49
Luxembourg 21806 659 3.12 11335 180 3 1.69 0.83
Cote d’Ivoire 20801 12 0.06 526 126 0 0.00 0.61
Lithuania 20747 1656 8.67 13706 192 6 3.23 0.93
Finland 17385 266 1.55 4252 362 1 0.28 2.08
Madagascar 17111 0 0.00 357 244 0 0.00 1.43
Zambia 16819 49 0.29 1160 349 0 0.00 2.08
Senegal 15676 8 0.05 308 326 0 0.00 2.08
Sudan 13943 0 0.00 252 837 0 0.00 6.00
Uganda 13852 284 2.09 3518 131 14 11.97 0.95
Mozambique 13485 94 0.70 2873 99 2 2.06 0.73
Namibia 13143 53 0.40 928 133 0 0.00 1.01
Sri Lanka 12970 400 3.18 7616 30 1 3.45 0.23
Guinea 12363 0 0.00 1001 73 0 0.00 0.59
Angola 12223 121 1.00 5001 300 1 0.33 2.45
Maldives 11932 39 0.33 778 39 1 2.63 0.33
Congo (Kinshasa) 11517 67 0.59 518 315 0 0.00 2.74
Tajikistan 11256 37 0.33 842 83 0 0.00 0.74

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Texas 977222 7732 0.80 133735 19046 139 0.74 1.95 33702.10 656.85 1 in 30
California 963211 6357 0.66 91958 17931 71 0.40 1.86 24377.55 453.81 1 in 41
Florida 832625 5245 0.63 84188 17014 53 0.31 2.04 38766.89 792.17 1 in 26
New York 522021 3209 0.62 40914 33664 7 0.02 6.45 26834.21 1730.48 1 in 37
Illinois 465540 11802 2.60 125783 10397 84 0.81 2.23 36738.21 820.48 1 in 27
Georgia 370106 1738 0.47 32256 8156 30 0.37 2.20 34858.36 768.17 1 in 29
North Carolina 288569 2908 1.02 46946 4582 34 0.75 1.59 27513.99 436.88 1 in 36
Tennessee 273144 1373 0.51 49651 3541 32 0.91 1.30 39973.22 518.21 1 in 25
Wisconsin 256065 6141 2.46 89879 2256 62 2.83 0.88 43979.03 387.47 1 in 23
Arizona 254764 1996 0.79 25278 6109 22 0.36 2.40 33456.02 802.24 1 in 30
New Jersey 249380 2161 0.87 31576 16416 13 0.08 6.58 28076.41 1848.19 1 in 36
Ohio 240178 5008 2.13 62187 5494 33 0.60 2.29 20547.18 470.01 1 in 49
Pennsylvania 229346 3648 1.62 45181 8964 41 0.46 3.91 17914.87 700.20 1 in 56
Michigan 222509 4246 1.95 63390 7880 47 0.60 3.54 22280.18 789.04 1 in 45
Missouri 204404 4362 2.18 49481 3141 24 0.77 1.54 33304.50 511.78 1 in 30
Indiana 200823 4647 2.37 57328 4547 36 0.80 2.26 29830.13 675.41 1 in 34
Alabama 200714 1556 0.78 30340 3049 23 0.76 1.52 40935.43 621.84 1 in 24
Virginia 188770 1568 0.84 24646 3682 -6 -0.16 1.95 22115.82 431.37 1 in 45
Louisiana 186695 870 0.47 12057 6016 21 0.35 3.22 40159.88 1294.10 1 in 25
South Carolina 182872 1233 0.68 20619 4005 13 0.33 2.19 35518.00 777.86 1 in 28
Minnesota 170307 5442 3.30 50911 2645 36 1.38 1.55 30198.25 469.00 1 in 33
Massachusetts 167274 2113 1.28 24928 10106 21 0.21 6.04 24069.92 1454.20 1 in 42
Maryland 151505 1541 1.03 17176 4194 12 0.29 2.77 25060.04 693.72 1 in 40
Iowa 145866 3375 2.37 40120 1828 14 0.77 1.25 46232.25 579.38 1 in 22
Oklahoma 131751 1878 1.45 26443 1429 16 1.13 1.08 33295.92 361.13 1 in 30
Utah 127279 2987 2.40 35322 649 17 2.69 0.51 39700.77 202.44 1 in 25
Mississippi 124854 967 0.78 15599 3419 14 0.41 2.74 41951.53 1148.80 1 in 24
Colorado 124469 3463 2.86 41239 2376 23 0.98 1.91 21613.94 412.59 1 in 46
Arkansas 119230 1870 1.59 21691 2056 19 0.93 1.72 39508.59 681.29 1 in 25
Kentucky 117505 2228 1.93 31999 1544 10 0.65 1.31 26301.16 345.59 1 in 38
Washington 114241 1691 1.50 17347 2439 8 0.33 2.13 15002.31 320.29 1 in 67
Nevada 106922 1562 1.48 18237 1845 21 1.15 1.73 34713.18 599.00 1 in 29
Kansas 93631 3411 3.78 24081 1093 14 1.30 1.17 32139.00 375.17 1 in 31
Nebraska 80693 2681 3.44 23979 701 27 4.01 0.87 41714.57 362.38 1 in 24
Connecticut 78125 1065 1.38 15295 4671 15 0.32 5.98 21912.68 1310.13 1 in 46
Idaho 70909 1330 1.91 19205 679 8 1.19 0.96 39568.32 378.89 1 in 25
Puerto Rico 70519 1103 1.59 14107 862 7 0.82 1.22 22080.70 269.91 1 in 45
South Dakota 52639 1488 2.91 20834 510 28 5.81 0.97 59502.02 576.49 1 in 17
New Mexico 52394 1284 2.51 16624 1088 6 0.55 2.08 24987.25 518.88 1 in 40
North Dakota 51602 1765 3.54 21085 613 17 2.85 1.19 67713.65 804.40 1 in 15
Oregon 48608 769 1.61 9673 716 6 0.85 1.47 11524.66 169.76 1 in 87
Montana 37947 979 2.65 16352 419 12 2.95 1.10 35505.03 392.04 1 in 28
Rhode Island 36380 630 1.76 8689 1224 2 0.16 3.36 34341.46 1155.41 1 in 29
West Virginia 27087 540 2.03 7501 489 7 1.45 1.81 15156.56 273.62 1 in 66
Delaware 26035 282 1.10 3311 716 0 0.00 2.75 26736.46 735.29 1 in 37
Alaska 18699 525 2.89 8150 84 0 0.00 0.45 25560.97 114.83 1 in 39
District of Columbia 17792 110 0.62 1537 652 2 0.31 3.66 25210.10 923.84 1 in 40
Wyoming 16405 996 6.46 7740 105 0 0.00 0.64 28345.13 181.42 1 in 35
Hawaii 15691 119 0.76 1838 219 0 0.00 1.40 11082.22 154.67 1 in 90
New Hampshire 12012 204 1.73 2498 488 2 0.41 4.06 8834.23 358.90 1 in 113
Maine 7444 184 2.53 1581 150 0 0.00 2.02 5537.82 111.59 1 in 181
Vermont 2326 23 1.00 411 58 0 0.00 2.49 3727.63 92.95 1 in 268

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 Texas 8553766 977222 11.42 1342720 133735 9.96 294999.3
2 California 19396349 963211 4.97 2774393 91958 3.31 490894.9
3 Florida 10405346 832625 8.00 4731661 84188 1.78 484471.2
4 New York 15355881 522021 3.40 2744450 40914 1.49 789360.9
5 Illinois 8215129 465540 5.67 1592774 125783 7.90 648299.0
6 Georgia 3691733 370106 10.03 437463 32256 7.37 347705.2
7 North Carolina 4277376 288569 6.75 737645 46946 6.36 407832.0
8 Tennessee 3791407 273144 7.20 516894 49651 9.61 554853.0
9 Wisconsin 3497021 256065 7.32 1731225 89879 5.19 600611.5
10 Arizona 1842311 254764 13.83 232931 25278 10.85 241935.2
11 New Jersey 4863436 249380 5.13 762037 31576 4.14 547549.2
12 Ohio 4700814 240178 5.11 897327 62187 6.93 402153.6
13 Pennsylvania 2632316 229346 8.71 350186 45181 12.90 205617.7
14 Michigan 5207467 222509 4.27 982057 63390 6.45 521432.0
15 Missouri 2649277 204404 7.72 426423 49481 11.60 431659.2
16 Indiana 3117069 200823 6.44 665784 57328 8.61 463007.7
17 Alabama 1387448 200714 14.47 146266 30340 20.74 282968.7
18 Virginia 2743229 188770 6.88 396330 24646 6.22 321389.8
19 Louisiana 2866476 186695 6.51 300824 12057 4.01 616606.4
20 South Carolina 1897097 182872 9.64 330780 20619 6.23 368460.4
21 Minnesota 2990965 170307 5.69 560414 50911 9.08 530347.6
22 Massachusetts 6547668 167274 2.55 1534705 24928 1.62 942177.9
23 Maryland 3587697 151505 4.22 574590 17176 2.99 593431.5
24 Iowa 922017 145866 15.82 99242 40120 40.43 292233.5
25 Oklahoma 1689601 131751 7.80 271453 26443 9.74 426993.5
26 Utah 1463556 127279 8.70 506247 35322 6.98 456511.3
27 Mississippi 962062 124854 12.98 123263 15599 12.66 323257.3
28 Colorado 2141933 124469 5.81 516406 41239 7.99 371945.0
29 Arkansas 1407002 119230 8.47 209104 21691 10.37 466230.5
30 Kentucky 2177509 117505 5.40 523662 31999 6.11 487392.2
31 Washington 2541074 114241 4.50 371882 17347 4.66 333697.9
32 Nevada 1312492 106922 8.15 563703 18237 3.24 426112.2
33 Kansas 676320 93631 13.84 87131 24081 27.64 232148.0
34 Nebraska 1000225 80693 8.07 470959 23979 5.09 517070.3
35 Connecticut 2434474 78125 3.21 466841 15295 3.28 682826.9
36 Idaho 398721 70909 17.78 53136 19205 36.14 222492.5
38 South Dakota 272190 52639 19.34 45200 20834 46.09 307677.9
39 New Mexico 1230205 52394 4.26 202813 16624 8.20 586697.8
40 North Dakota 884732 51602 5.83 165715 21085 12.72 1160971.1
41 Oregon 897602 48608 5.42 122413 9673 7.90 212816.0
42 Montana 523596 37947 7.25 98134 16352 16.66 489901.5
43 Rhode Island 1217916 36380 2.99 282293 8689 3.08 1149670.4
44 West Virginia 827059 27087 3.28 159480 7501 4.70 462781.7
45 Delaware 577122 26035 4.51 255980 3311 1.29 592671.3
46 Alaska 781301 18699 2.39 258637 8150 3.15 1068014.9
47 District of Columbia 546323 17792 3.26 90536 1537 1.70 774103.8
48 Wyoming 140174 16405 11.70 22755 7740 34.01 242197.5
49 Hawaii 551803 15691 2.84 85773 1838 2.14 389726.6
50 New Hampshire 651044 12012 1.85 127704 2498 1.96 478810.6
51 Maine 676065 7444 1.10 142424 1581 1.11 502945.2
52 Vermont 428851 2326 0.54 252246 411 0.16 687273.3

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1648665 0 0 1470660 89.20 134137 43348 0 0 2.63
Andhra Pradesh 808924 0 0 773548 95.63 28770 6606 0 0 0.82
Karnataka 805947 0 0 719558 89.28 75423 10947 0 0 1.36
Tamil Nadu 711713 0 0 671489 94.35 29268 10956 0 0 1.54
Uttar Pradesh 472068 0 0 438512 92.89 26654 6902 0 0 1.46
Kerala 397218 0 0 302017 76.03 93745 1353 0 0 0.34
Delhi 359488 0 0 327390 91.07 25786 6312 0 0 1.76
West Bengal 353822 0 0 310086 87.64 37190 6546 0 0 1.85
Odisha 282695 0 0 266105 94.13 15278 1312 0 0 0.46
Telangana 231834 0 0 211912 91.41 18611 1311 0 0 0.57
Bihar 212705 0 0 202007 94.97 9639 1058 0 0 0.50
Assam 204386 0 0 188584 92.27 14891 908 0 0 0.44
Rajasthan 188048 0 0 169962 90.38 16233 1853 0 0 0.99
Chhattisgarh 177608 0 0 153654 86.51 22093 1861 0 0 1.05
Gujarat 168081 0 0 150750 89.69 13638 3693 0 0 2.20
Madhya Pradesh 167969 0 0 154222 91.82 10857 2890 0 0 1.72
Haryana 159457 0 0 147566 92.54 10154 1737 0 0 1.09
Punjab 131391 0 0 123047 93.65 4219 4125 0 0 3.14
Jharkhand 99906 0 0 93368 93.46 5666 872 0 0 0.87
Jammu and Kashmir 92225 0 0 83485 90.52 7296 1444 0 0 1.57
Uttarakhand 60744 0 0 55188 90.85 4080 1001 0 0 1.65
Goa 42532 0 0 39433 92.71 2517 582 0 0 1.37
Puducherry 34336 0 0 29990 87.34 3758 588 0 0 1.71
Tripura 30254 0 0 28046 92.70 1845 340 0 0 1.12
Himachal Pradesh 20586 0 0 17760 86.27 2508 288 0 0 1.40
Manipur 17424 0 0 13057 74.94 4223 144 0 0 0.83
Arunachal Pradesh 14391 0 0 12182 84.65 2174 35 0 0 0.24
Chandigarh 14085 0 0 13230 93.93 633 222 0 0 1.58
Meghalaya 9020 0 0 7332 81.29 1604 81 0 0 0.90
Nagaland 8663 0 0 6720 77.57 1833 27 0 0 0.31
Ladakh 5978 0 0 5216 87.25 691 71 0 0 1.19
Andaman and Nicobar Islands 4253 0 0 3997 93.98 198 58 0 0 1.36
Sikkim 3840 0 0 3448 89.79 245 65 0 0 1.69
Dadra and Nagar Haveli and Daman and Diu 3226 0 0 3147 97.55 51 2 0 0 0.06
Mizoram 2493 0 0 2209 88.61 284 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 3172359 242947 9934 4.26 7.66 5563 570 117366 18118 7.46
Piemonte 1117280 89458 4878 5.77 8.01 3871 268 47916 4549 5.09
Campania 1075201 78009 4508 6.13 7.26 1677 180 62196 796 1.02
Veneto 2417660 72092 3297 4.79 2.98 1184 169 43937 2543 3.53
Emilia-Romagna 1695309 67041 1953 3.00 3.95 1673 177 33730 4752 7.09
Lazio 1591303 60707 2699 4.65 3.81 2511 234 46684 1370 2.26
Toscana 1180350 57680 2592 4.71 4.89 1303 209 39440 1502 2.60
Liguria 475685 34452 1127 3.38 7.24 1315 78 11692 1879 5.45
Sicilia 737769 28825 1423 5.19 3.91 1157 159 19513 628 2.18
Puglia 594560 23881 946 4.12 4.02 787 122 15629 802 3.36
Marche 338947 17656 697 4.11 5.21 444 60 9240 1037 5.87
Umbria 320893 13591 767 5.98 4.24 326 53 8885 174 1.28
Abruzzo 308505 13505 395 3.01 4.38 468 42 8581 584 4.32
Friuli Venezia Giulia 567637 13352 542 4.23 2.35 260 44 6755 435 3.26
P.A. Bolzano 249844 11572 713 6.57 4.63 356 35 7046 330 2.85
Sardegna 286076 11412 359 3.25 3.99 392 46 7686 249 2.18
P.A. Trento 304662 10453 261 2.56 3.43 226 17 2433 459 4.39
Calabria 292222 6714 264 4.09 2.30 212 15 4481 132 1.97
Valle d’Aosta 44359 3963 129 3.36 8.93 154 13 2168 195 4.92
Basilicata 112980 3172 249 8.52 2.81 100 16 2335 59 1.86
Molise 68295 2199 76 3.58 3.22 26 8 1405 45 2.05

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 112189 1133 1.02 6403 25 0.39 5.71 13140.46 749.97 1 in 76
Ontario 84759 1925 2.32 3265 20 0.62 3.85 5761.28 221.93 1 in 174
Alberta 31858 1411 4.63 352 9 2.62 1.10 7218.89 79.76 1 in 139
British Columbia 17149 589 3.56 275 2 0.73 1.60 3355.37 53.81 1 in 298
Manitoba 7419 242 3.37 96 5 5.49 1.29 5385.78 69.69 1 in 186
Saskatchewan 3623 87 2.46 25 0 0.00 0.69 3066.01 21.16 1 in 326
Nova Scotia 1121 2 0.18 65 0 0.00 5.80 1146.85 66.50 1 in 872
New Brunswick 350 1 0.29 6 0 0.00 1.71 448.72 7.69 1 in 2229
Newfoundland and Labrador 294 0 0.00 4 0 0.00 1.36 563.90 7.67 1 in 1773
Prince Edward Island 66 2 3.12 0 0 NaN 0.00 417.30 0.00 1 in 2396
Yukon 23 0 0.00 1 0 0.00 4.35 559.91 24.34 1 in 1786
Northwest Territories 10 0 0.00 0 0 NaN 0.00 222.70 0.00 1 in 4490

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68143 4512 6.62
Hong Kong 5361 107 2.00
Guangdong 1943 8 0.41
Zhejiang 1288 1 0.08
Henan 1286 22 1.71
Shanghai 1234 7 0.57
Hunan 1020 4 0.39
Anhui 991 6 0.61
Xinjiang 980 3 0.31
Heilongjiang 949 13 1.37
Beijing 945 9 0.95
Jiangxi 935 1 0.11
Shandong 848 7 0.83
Sichuan 767 3 0.39
Jiangsu 674 0 0.00
Chongqing 589 6 1.02
Shaanxi 463 3 0.65
Fujian 455 1 0.22
Hebei 373 6 1.61
Inner Mongolia 303 1 0.33
Liaoning 284 2 0.70
Tianjin 275 3 1.09
Guangxi 260 2 0.77
Shanxi 216 0 0.00
Yunnan 214 2 0.93
Gansu 180 2 1.11
Hainan 171 6 3.51
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 29748.83 721.49 1 in 34
India 6319.70 93.77 1 in 158
Brazil 26904.83 774.08 1 in 37
Russia 11903.55 205.22 1 in 84
France 25521.96 595.85 1 in 39
Spain 28479.04 832.25 1 in 35
Argentina 27757.26 748.50 1 in 36
United Kingdom 17305.70 730.96 1 in 58
Colombia 22982.13 660.38 1 in 44
Mexico 7392.63 730.05 1 in 135
Peru 28434.01 1079.58 1 in 35
Italy 14263.91 671.92 1 in 70
South Africa 12943.85 348.18 1 in 77
Iran 8178.91 460.93 1 in 122
Germany 7899.41 135.77 1 in 127
Chile 28719.67 800.55 1 in 35
Poland 13000.66 191.86 1 in 77
Iraq 12885.79 293.81 1 in 78
Belgium 42810.88 1114.74 1 in 23
Ukraine NA NA 1 in NA

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 317656 7157 2.25
Cook Illinois 210266 5742 2.73
Miami-Dade Florida 191838 3671 1.91
Harris Texas 165967 2854 1.72
Maricopa Arizona 164269 3682 2.24
Dallas Texas 99761 1307 1.31
Broward Florida 89751 1545 1.72
Clark Nevada 86673 1568 1.81
Queens New York 78737 7301 9.27
Kings New York 77709 7425 9.55
Tarrant Texas 72118 871 1.21
Riverside California 70696 1333 1.89
San Bernardino California 67777 1092 1.61
Bexar Texas 67127 1425 2.12
Orange California 61421 1503 2.45
El Paso Texas 59852 683 1.14
San Diego California 59116 907 1.53
Bronx New York 56655 5003 8.83
Palm Beach Florida 54624 1606 2.94
Salt Lake Utah 54332 325 0.60
Nassau New York 51164 2216 4.33
Suffolk New York 50210 2021 4.03
Hillsborough Florida 50127 830 1.66
Orange Florida 48322 576 1.19
Philadelphia Pennsylvania 47675 1889 3.96
Milwaukee Wisconsin 47640 616 1.29
Wayne Michigan 44888 3078 6.86
Westchester New York 41720 1472 3.53
Hennepin Minnesota 40559 1016 2.50
Shelby Tennessee 38932 582 1.49
New York New York 37430 3200 8.55
Franklin Ohio 36812 643 1.75
Hidalgo Texas 36686 1978 5.39
Duval Florida 36438 534 1.47
Mecklenburg North Carolina 35845 403 1.12
Kern California 34973 428 1.22
St. Louis Missouri 34593 895 2.59
Davidson Tennessee 34332 362 1.05
Middlesex Massachusetts 34142 2310 6.77
Prince George’s Maryland 34070 869 2.55
Travis Texas 32928 457 1.39
Utah Utah 32927 93 0.28
Fulton Georgia 32433 635 1.96
Fresno California 32056 454 1.42
Gwinnett Georgia 31933 458 1.43
Suffolk Massachusetts 30062 1191 3.96
King Washington 29832 822 2.76
Pima Arizona 29764 653 2.19
Marion Indiana 29451 801 2.72
Oakland Michigan 29154 1249 4.28
DuPage Illinois 28834 675 2.34
Sacramento California 27278 506 1.85
Pinellas Florida 27192 831 3.06
Montgomery Maryland 26996 886 3.28
Essex New Jersey 26608 2152 8.09
Fairfield Connecticut 26435 1447 5.47
Bergen New Jersey 26382 2070 7.85
Oklahoma Oklahoma 26302 248 0.94
Douglas Nebraska 25917 238 0.92
Santa Clara California 25883 430 1.66
Essex Massachusetts 25741 1364 5.30
Jefferson Kentucky 25650 387 1.51
Jefferson Alabama 25370 391 1.54
Providence Rhode Island 25309 970 3.83
Lake Illinois 25124 546 2.17
Fairfax Virginia 24909 595 2.39
Cameron Texas 24561 1091 4.44
Lee Florida 24508 531 2.17
Hudson New Jersey 24494 1537 6.28
Alameda California 24418 471 1.93
Tulsa Oklahoma 23983 225 0.94
Polk Florida 23879 637 2.67
Middlesex New Jersey 23539 1453 6.17
Cuyahoga Ohio 23406 700 2.99
Will Illinois 23279 473 2.03
Cobb Georgia 22913 467 2.04
Wake North Carolina 22771 279 1.23
San Joaquin California 22556 494 2.19
DeKalb Georgia 22379 407 1.82
Polk Iowa 22359 297 1.33
Passaic New Jersey 22126 1265 5.72
Denver Colorado 22103 457 2.07
Macomb Michigan 22085 1110 5.03
Baltimore Maryland 22046 681 3.09
Lubbock Texas 21746 225 1.03
Nueces Texas 21638 452 2.09
Union New Jersey 21604 1377 6.37
Kane Illinois 21195 373 1.76
Hamilton Ohio 20591 352 1.71
Hartford Connecticut 19769 1505 7.61
Collin Texas 19701 198 1.01
Contra Costa California 19685 250 1.27
New Haven Connecticut 19154 1137 5.94
Jefferson Louisiana 19077 590 3.09
Baltimore City Maryland 18824 511 2.71
Greenville South Carolina 18823 361 1.92
Rockland New York 18756 684 3.65
Ada Idaho 18618 188 1.01
Kent Michigan 18540 207 1.12
Stanislaus California 18286 407 2.23

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc